Table of Contents
1- Robotic Safety: Myth, Reality and Historical Perspective
2- Accidents, Case Studies and the Need for Safety Systems
3- Existing Safety Standards for Industrial Robotic Systems
4- Physical Safeguards
5- Implementations on Popular Industrial Robots
6- Collaborative Robots
7- Safety Systems, Controls and Cyber-Physical Systems
8- Networked Systems & Internet-based Control
9- Mobile Platforms: AGVs and AMRs
10- Drones, UAVs, and Aerial Safety
11- Safety vs. Progress & Advancing Technology
12- The Future of Robotic Safety Systems
Appendix A: Risk Assessment Forms
Appendix B: Case Study: Automated Solar Panel Placement
Author(s)
Biography
Dr. Justin Starr currently serves as the Endowed Professor of Advanced Technology at the Community College of Allegheny County where he works to integrate advanced technology into the technical curriculum including, augmented reality, electron microscopy, computer vision, machine learning, collaborative robots, and other cutting-edge topics. He is a certified FANUC and Universal Robots instructor, and has experience integrating robots in a variety of production environments. Previously, Dr. Starr served as CTO of RedZone Robotics, a manufacturer of water and wastewater inspection robots, CEO of High Tide Technologies, a developer of end-to-end cloud SCADA systems, and worked as a fractional COO for a number of private equity-backed firms in the high tech space. Dr. Starr holds 14 U.S. patents for inventions in robotics, artificial intelligence, and automation, and was named an Engineering Unleashed Fellow and Hi-TEC Fellow for his work with high-impact technologies.
Christopher Quick is the founder of RealBotics, Inc., a company specializing in remote control, telerobotics, and industrial automation consulting. His industrial automation experience includes various robotic installs in heavy forge and stamping applications, the implementation of automated guided vehicles (AGVs) on the factory floor, the use of collaborative robots in industrial settings, and various research projects utilizing machine vision. Chris also has experience with the mechanical, electrical, and computer science aspects of the design and development of mobile device platforms such as drones, cellular-based systems, and mobile robotics. Chris received his BS in Mechanical Engineering, with minors in Electrical Engineering, Computer Science, Robotics, and Computer Vision, and an MS in Engineering Management from Rose-Hulman Institute of Technology.
